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intelisync · 11 months ago

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Generative AI for Startups: 5 Essential Boosts to Boost Your Business

The future of business growth lies in the ability to innovate rapidly, deliver personalized customer experiences, and operate efficiently. Generative AI is at the forefront of this transformation, offering startups unparalleled opportunities for growth in 2024.

Generative AI is a game-changer for startups, significantly accelerating product development by quickly generating prototypes and innovative ideas. This enables startups to innovate faster, stay ahead of the competition, and bring new products to market more efficiently. The technology also allows for a high level of customization, helping startups create highly personalized products and solutions that meet specific customer needs. This enhances customer satisfaction and loyalty, giving startups a competitive edge in their respective industries.

By automating repetitive tasks and optimizing workflows, Generative AI improves operational efficiency, saving time and resources while minimizing human errors. This allows startups to focus on strategic initiatives that drive growth and profitability. Additionally, Generative AI’s ability to analyze large datasets provides startups with valuable insights for data-driven decision-making, ensuring that their actions are informed and impactful. This data-driven approach enhances marketing strategies, making them more effective and personalized.

Intelisync offers comprehensive AI/ML services that support startups in leveraging Generative AI for growth and innovation. With Intelisync’s expertise, startups can enhance product development, improve operational efficiency, and develop effective marketing strategies. Transform your business with the power of Generative AI—Contact Intelisync today and unlock your Learn more...

#5 Powerful Ways Generative AI Boosts Your Startup #advanced AI tools support startups #Driving Innovation and Growth #Enhancing Customer Experience #Forecasting Data Analysis and Decision-Making #Generative AI #Generative AI improves operational efficiency #How can a startup get started with Generative AI?#Is Generative AI suitable for all types of startups?#marketing strategies for startups #Streamlining Operations #Strengthen Product Development #Transform your business with AI-driven innovation #What is Generative AI #Customized AI Solutions #AI Development Services #Custom Generative AI Model Development.

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technon899 · 1 year ago

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jcmarchi · 10 months ago

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Should Your Business Consider the Claude Enterprise Plan?

New Post has been published on https://thedigitalinsider.com/should-your-business-consider-the-claude-enterprise-plan/

Should Your Business Consider the Claude Enterprise Plan?

Anthropic has just announced its new Claude Enterprise Plan, marking a significant development in the large language model (LLM) space and offering businesses a powerful AI collaboration tool designed with security and scalability in mind.

The Claude Enterprise Plan is an advanced offering that allows organizations to securely integrate AI capabilities into their workflows using internal knowledge. This plan is built on the foundation of Claude, Anthropic’s sophisticated AI model, but with enhanced features tailored for enterprise use.

As businesses increasingly recognize the importance of AI integration, solutions like the Claude Enterprise Plan are becoming essential. The adoption of AI in enterprise settings comes with unique challenges, particularly regarding data security and the ability to handle complex, organization-specific tasks. The Claude Enterprise Plan aims to address these concerns while providing robust AI capabilities.

Key Features of the Claude Enterprise Plan

Expanded Context Window and Increased Usage Capacity

One of the standout features of the Claude Enterprise Plan is its expanded context window of 500,000 tokens. This significant increase allows Claude to process and understand vast amounts of information in a single interaction. To put this into perspective, this context window can accommodate hundreds of sales transcripts, dozens of lengthy documents exceeding 100 pages, or even medium-sized codebases.

This expanded capacity isn’t just about quantity; it’s about enabling Claude to provide more nuanced, context-aware responses. The increased usage capacity also means that teams can rely on Claude for more extensive and frequent interactions, making it a more integral part of daily operations.

Enterprise-Grade Security Features

Understanding the paramount importance of data security in enterprise environments, Anthropic has incorporated robust security measures into the Claude Enterprise Plan. These enterprise-grade security features are designed to protect sensitive information and provide organizations with greater control over their AI interactions.

Key security features include:

Single Sign-On (SSO) and Domain Capture: These features allow businesses to manage user access securely and centralize control over account provisioning.

Role-Based Access with Fine-Grained Permissions: Organizations can designate primary owners for workspaces and implement detailed access controls, enhancing overall security and information management.

Audit Logs: This feature enables tracing of system activities, which is crucial for security monitoring and maintaining compliance with various regulations.

System for Cross-Domain Identity Management (SCIM): This automation tool streamlines user provisioning and access control management across different domains and systems.

Native GitHub Integration

Recognizing the specific needs of engineering teams, the Claude Enterprise Plan introduces a native GitHub integration. This feature allows development teams to sync their GitHub repositories directly with Claude, enabling seamless collaboration on codebases.

With this integration, engineers can work alongside Claude to:

Iterate on new features

Debug complex issues

Onboard new team members more efficiently

The GitHub integration is currently available in beta for early Enterprise Plan users, with plans for broader availability later in the year. Anthropic has indicated that this is just the first of several planned integrations aimed at connecting Claude with crucial enterprise data sources.

Source: Anthropic

Potential Benefits for Businesses

The Claude Enterprise Plan has the potential to transform how teams collaborate and share knowledge within an organization. By providing a centralized AI assistant with access to vast amounts of internal data, Claude can become a repository of institutional knowledge, accessible to all team members.

This capability can break down information silos, ensuring that insights and expertise are readily available across departments. For instance, a new employee could quickly get up to speed on company policies, best practices, or project histories by querying Claude, rather than having to track down information from multiple human sources.

The versatility of Claude’s AI capabilities also means it can contribute to efficiency gains across multiple business functions:

Marketing teams can use Claude to analyze market trends and craft compelling campaigns more rapidly.

Product managers can upload specifications and work with Claude to build interactive prototypes.

Customer service representatives can leverage Claude’s knowledge base to provide more accurate and consistent responses to customer inquiries.

By automating routine tasks and providing quick access to relevant information, Claude allows employees to focus on higher-value activities that require human creativity and decision-making.

Scalability of Expertise Across Teams

One of the most significant benefits of the Claude Enterprise Plan is its ability to scale expertise across an organization. As Claude learns from interactions and ingests more internal knowledge, it becomes an increasingly valuable resource that can be accessed by any team member, at any time.

This scalability is particularly valuable for:

Rapidly growing companies that need to quickly onboard new employees

Organizations with distributed teams across different time zones

Businesses looking to maintain consistency in processes and decision-making across various departments

By providing a consistent source of information and guidance, Claude can help ensure that all teams are aligned with company standards and best practices, regardless of their location or experience level.

Potential Use Cases for Claude Enterprise Customers

To better understand the potential impact of the Claude Enterprise Plan, let’s examine some real-world applications and feedback from early adopters.

Software Development and Code Management

The native GitHub integration makes Claude a powerful ally for engineering teams.

Developers can use Claude to:

Review and optimize code

Troubleshoot errors more efficiently

Generate documentation

Assist in onboarding new team members to complex codebases

Marketing and Product Management Applications

Marketing teams can leverage Claude’s expanded context window to analyze vast amounts of market data, customer feedback, and industry trends. This can lead to more data-driven campaign strategies and product innovations.

Product managers can use Claude to:

Draft and refine product specifications

Create interactive prototypes based on written descriptions

Analyze user feedback at scale

Insights from GitLab and Midjourney

Early adopters of the Claude Enterprise Plan have reported positive experiences:

GitLab, a DevOps platform, found that Claude offered their team members a tool that felt like an extension of their work and expertise. Taylor McCaslin, Product Lead for AI and ML Tech at GitLab, noted that Claude allowed them to take on more complex tasks while ensuring their intellectual property remained private and protected.

Midjourney, the famous AI image generation company, reported using Claude for a wide range of tasks, from summarizing research papers to analyzing user feedback and iterating on moderation policies. Caleb Kruse, Chief of Staff at Midjourney, expressed excitement about continuing to work alongside Claude as they explore new domains.

Evaluating the Claude Enterprise Plan for Your Business

Before adopting the Claude Enterprise Plan, it’s crucial to evaluate your current AI capabilities and identify areas where Claude could provide the most value. Consider:

Which departments could benefit most from AI assistance?

What types of tasks are currently bottlenecks that could be alleviated with AI?

How much internal data would you need to process to make Claude truly valuable?

The success of any new tool depends on how well it integrates with existing systems and processes. Assess how Claude would fit into your current tech stack and workflow. The GitHub integration is a good example of seamless workflow integration for development teams.

While Anthropic hasn’t publicly disclosed pricing for the Enterprise Plan, it’s important to consider the potential return on investment. Factor in:

Time saved on repetitive tasks

Potential for more data-driven decision making

Improved collaboration and knowledge sharing

Any costs associated with implementation and training

The Bottom Line

The Claude Enterprise Plan represents a significant step forward in bringing advanced AI capabilities to businesses while addressing critical concerns around security, scalability, and integration. For organizations looking to leverage AI to enhance collaboration, streamline processes, and drive innovation, Claude offers a compelling solution. However, as with any major technological adoption, careful evaluation of your specific needs and readiness is crucial. By considering the features, benefits, and potential challenges outlined in this article, you’ll be better equipped to decide if the Claude Enterprise Plan is the right fit for your business.

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technon913 · 1 year ago

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makergpt · 2 years ago

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A Deep Dive into Generative AI Development Brilliance!

Dive into the depths of innovation with "A Deep Dive into Generative AI Development Brilliance!" This guide is your gateway to profound insights, offering a meticulous exploration of coding excellence in the world of Generative AI Development. Master the intricacies and emerge with brilliance, shaping the future of AI with every line of code! You can visit our website for more information.

#Generative AI #Train a Generative AI model #Custom Generative AI tool #No-code Generative AI tool #Generative AI Development #Generative AI Developer #Train a GPT model #Custom GPT tool #No-code GPT tool #GPT Development #GPT Developer

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technon899 · 1 year ago

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kiestrokes · 1 year ago

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Your thoughts on Seventeen as sex workers and their specialties

Seventeen as Sex Workers | NSFW

💎 Rating: NSFW. Mature (18+) Minors DNI. 💎 Genre: headcanon, imagine, smut. 💎 Warnings: language?

💎 Sexually Explicit Content: this is about sex work, we support sex workers on this blog, if you are not comfortable with that please do not engage with this post. All of these are consented acts, the services are very detailed, and everyone knows what they're getting themselves into (even Gyu).

🗝️Note: I gifted @minttangerines & @minisugakoobies with a preview of the ones I had drunkenly wrote back on Valentines Day. Finally finished the rest.

Disclaimers: This is a work of fiction; I do not own any of the idols depicted below.

Coups Grade A, mothering fucking camboy those eyebrows alone have his viewers coming on command.

Jeonghan This man is a financial dom, that pretty face and scathing looks of disapproval without really getting his hands dirty? (Coups is his number one customer.)

Joshua Similar to Han he sells his perversely used items to the very (large) freaky crowd of humans on the internet. Is he mildly worried one of his specimens will end up at a crime scene? Yes.

Jun Ok the only thing I keep coming back to for Jun is a soft core pornstar. Just thinking about the members giggling over his one kiss scene.

Hoshi THE male stripper to end all other stripper's careers, because Hoshi simply loves to dance, and that magnetism really draws a crowd.

Wonwoo Welcome your happy endings massage.

Woozi Y’all this man makes moaning boy audios on YouTube. And they SELL (in youtube streams that is). He finally collected enough to compile an hour live stream and is showering in the rewards.

DK Our classy escort for the affluent crowd…that sometimes (always) ends up in an additional service.

Mingyu Gyu is kinda clueless (per usual) he makes his money cuckholding for some of the rich gym couples. But has conflicted feelings about if this is really for him.

Hao Hallucinogenic tea ceremonies where he brings you to verbal orgasm.

Boo Ahem. Boo is the purest of doms, this man is clean, by the rule book and concise whenever you require his services. This is the safest domming experience you will ever have.

Vernon Listen it had to be someone, he’s our resident feet pic supplier.

Dino How do I properly explain this one? Dino sold himself to a singular client, one who spoils him, and he makes sure to take care of all their needs. The epitome of an amazing partner. The perfect little subby man.

© COPYRIGHT 2021 - 2024 by kiestrokes All rights reserved. No portion of this work may be reproduced without written permission from the author. This includes translations. No generative artificial intelligence (AI) was used in the writing of this work. The author expressly prohibits any entity from using this for purposes of training AI technologies to generate text, including without the limitation technologies capable of generating works in the same style or genre as this publication. The author reserves all rights to license uses of this work for generative AI training and development of machine learning language models.

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maletofujoshi · 2 months ago

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I dont think it's worth dooming about AI art because largely i still think audiences that are invested in art largely are compelled by process about as much (and sometimes more) than end product, and i'm not sure that AI models can really catch up with process. even when people cared a lot about AI images during their sorta bizarre nonsense era, it was kinda because of the inscrutable process creating works that were like. fun to think about. like remember 2021 neuralblender and the like?

this was fun because it was the kind of image that like... only an AI model would think to make, and there's elements of it that would likely be difficult for human artists to replicate-- not impossible, but like, difficult. as such this image was and is captivating to many people. current AI image generators are basically trying to imitate either photography or, especially now, particular illustrators or particular styles of art. except like. it skips past the process, or like, the process is completely different and like. not i think especially compelling? ppl might think differently about that but there's something about like a heavily rendered AI anime girl that is less interesting to me to an otherwise heavily rendered anime girl. i remember coming across a dark fantasy genre artist on tumblr, and i was about to send them an ask about how they got a certain texture in what looked like digital work-- before i looked closer and realized "ah, this is AI, they can't give me a replicable answer." that dampened my enjoyment of images that were otherwise fun to look at. this maybe sounds bad, but without process, an object becomes kinda kitschy to me. the art-object itself is more functional than anything at that point, like how "fountain" is interesting because of the presentation of it as art, though a urinal is just a urinal otherwise.

thinking about it with games, i think there's a lot of interesting lines people draw there: what elements of development would you have a problem with if you found out some developer used AI for them? image generation is particularly useful for textures, but texture work is something a lot of people care a lot about. people care about photography, painting, and image editing... but what about like, generating a height map for that texture? what about photographing a texture, and then asking like some AI model to make it tile better? different people care about different things more or less. there's games out there who's textures tell like, interesting stories, "Sonic Adventure"s developers went on trips to places in the real world and took photos and used them in the game. that's like, really very appreciable, and makes me admire that game more-- but like also. there's a lot of games where i kinda either don't think about the texture work at all, or only really admire it for obvious observable qualities- the end product.

Using AI for code is another thing. I think like, it's kinda obvious that people would do this. programming is like an obvious use case for a language model, and i think it's questionable when people get up in arms about it. programs like RPGmaker are kinda highly appreciated for essentially taking out "programming" as a required skill to make games. this enabled a lot of artists and writers to create games, with mostly 'readymade' tools, which led to a lot of interesting art... obviously there's still programming work involved, event scripting, custom mechanics, but like i think that's similar to having to think about scripts at least somewhat even if you're getting some AI model do a lot of the work of implementation for you... but then again, there's games that are beautiful for systems that are programmed, and thought up by highly skilled people.

basically i think a lot of AI takes away the work in areas people don't necessarily care about. and that's a subjective thing. there might be a lot to care about in those areas. it makes me feel kinda bad seeing like, clipart go away in advertising. like. i saw some ad that had this AI generated art of a bowl of noodles, and it was passable from a distance, but there were a lot of problems with it that annoyed me, mistakes a trained human illustrator wouldn't make-- bad tangents, lines that didn't actually flow. but also like. okay. so what. like that's not art i necessarily care about being good... but like otherwise. process is literally cool and a lot of process will kinda have to remain human. i'd be weirded out if i saw some major company using a shoddy generated image like that because it'd feel cheap. similar to how it's a bit cheap when a game opts for 'readymade' assets.. if there's still some interesting process elsewhere there, interesting thought, that still creates intrigue. but i wouldn't be interested in like, an asset flip without ideas, lol.

tldr; i dont think writing, art, or programming are dead forever now, but like if ur writing copy, making illustration, or doing amateur work or something you will probably struggle with finding cheaper clients. which does kinda suck tbh. finding an audience that appreciates ur work and the process behind it will probably just be as variable as it always has been, though.

#ignore my wishywashy use of terms please. :prayer:

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bliow · 11 months ago

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AGARTHA Aİ - DEVASA+ (4)

In an era where technology and creativity intertwine, AI design is revolutionizing the way we conceptualize and create across various industries. From the runway to retail, 3D fashion design is pushing boundaries, enabling designers to craft intricate garments with unparalleled precision. Likewise, 3D product design is transforming everything from gadgets to furniture, allowing for rapid prototyping and innovation. As we explore these exciting advancements, platforms like Agartha.ai are leading the charge in harnessing artificial intelligence to streamline the design process and inspire new ideas.

AI design

Artificial intelligence (AI) has revolutionized numerous industries, and the realm of design is no exception. By leveraging the power of machine learning and advanced algorithms, AI is transforming the way designers create, innovate, and deliver their products. AI-driven tools enable designers to harness vast amounts of data, allowing for more informed decision-making and streamlined workflows.

In the context of graphic design, AI can assist artists in generating ideas, creating unique visuals, and even automating repetitive tasks. For instance, programs powered by AI design can analyze trends and consumer preferences, producing designs that resonate with target audiences more effectively than traditional methods. This shift not only enhances creativity but also enables designers to focus on strategic thinking and ideation.

Moreover, AI is facilitating personalized design experiences. With the help of algorithms that analyze user behavior, products can be tailored to meet the specific needs and tastes of individuals. This level of customization fosters deeper connections between brands and consumers, ultimately driving customer satisfaction and loyalty in an increasingly competitive market.

3D fashion design

In recent years, 3D fashion design has revolutionized the way we create and visualize clothing. Using advanced software and tools, designers can create lifelike virtual garments that allow for innovative experimentation without the need for physical fabric. This trend has not only streamlined the design process but has also significantly reduced waste in the fashion industry.

Moreover, 3D fashion design enables designers to showcase their creations in a more interactive manner. By utilizing 3D modeling and rendering technologies, designers can present their collections in virtual environments, making it easier for clients and consumers to appreciate the nuances of each piece. This immersive experience also helps in gathering valuable feedback before producing the final product.

Furthermore, the integration of 3D fashion design with augmented reality (AR) and virtual reality (VR) technologies is bringing a fresh perspective to the industry. Consumers can virtually try on clothes from the comfort of their homes, thereby enhancing the shopping experience. As this field continues to evolve, it promises to bridge the gap between creativity and technology, paving the way for a sustainable and forward-thinking fashion future.

3D product design

3D product design has revolutionized the way we conceptualize and create products. With advanced software tools and technologies, designers can now create highly detailed and realistic prototypes that are not only visually appealing but also functional. This process allows for a quicker iteration of ideas, enabling designers to experiment with various styles and functionalities before arriving at the final design.

One of the significant advantages of 3D product design is the ability to visualize products in a virtual environment. Designers can see how their creations would look in real life, which is essential for understanding aesthetics and usability. Additionally, this technology enables manufacturers to identify potential issues in the design phase, reducing costs associated with prototype development and rework.

Moreover, the rise of 3D printing has further enhanced the significance of 3D product design. Designers can swiftly turn their digital models into tangible products, allowing for rapid prototyping and small-batch manufacturing. This agility not only speeds up the time-to-market for new products but also paves the way for more innovative designs that were previously impossible to execute.

Agartha.ai

Agartha.ai is a revolutionary platform that merges artificial intelligence with innovative design, creating a new avenue for designers and creators alike. With the rapid advancements in technology, Agartha.ai leverages AI to streamline various design processes, enabling users to produce unique and captivating designs with ease.

The platform provides tools that empower both emerging and established designers to explore the possibilities of AI design. By utilizing intelligent algorithms, Agartha.ai can assist in generating design options, ensuring that creativity is not hindered but enhanced. This results in a more efficient workflow and allows designers to focus on the conceptual aspects of their projects.

One of the standout features of Agartha.ai is its ability to adapt to different design disciplines, such as 3D fashion design and 3D product design. By supporting a broad spectrum of design fields, it positions itself as a versatile tool that meets the evolving needs of today's creative professionals. Whether it's crafting intricate fashion pieces or developing innovative product designs, Agartha.ai is at the forefront of the design revolution.

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makergpt · 2 years ago

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"Your Words, Your Way: Empower Creativity with a Custom GPT Tool! 🚀🖋️"

Unlock a world of personalized language innovation with "Custom GPT Tool" – where your words take center stage! 🌐💬

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Craft brilliance effortlessly, whether you're a seasoned developer or a writing enthusiast. This tool empowers you to shape the future of communication, putting your words at the forefront of language innovation. 🌟📖

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#Generative AI #Train a Generative AI model #Custom Generative AI tool #No-code Generative AI tool #Generative AI Development #Generative AI Developer #Train a GPT model #Custom GPT tool #No-code GPT tool #GPT Development #GPT Developer

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mariacallous · 10 months ago

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Stories about AI-generated political content are like stories about people drunkenly setting off fireworks: There’s a good chance they’ll end in disaster. WIRED is tracking AI usage in political campaigns across the world, and so far examples include pornographic deepfakes and misinformation-spewing chatbots. It’s gotten to the point where the US Federal Communications Commission has proposed mandatory disclosures for AI use in television and radio ads.

Despite concerns, some US political campaigns are embracing generative AI tools. There’s a growing category of AI-generated political content flying under the radar this election cycle, developed by startups including Denver-based BattlegroundAI, which uses generative AI to come up with digital advertising copy at a rapid clip. “Hundreds of ads in minutes,” its website proclaims.

BattlegroundAI positions itself as a tool specifically for progressive campaigns—no MAGA types allowed. And it is moving fast: It launched a private beta only six weeks ago and a public beta just last week. Cofounder and CEO Maya Hutchinson is currently at the Democratic National Convention trying to attract more clients. So far, the company has around 60, she says. (The service has a freemium model, with an upgraded option for $19 a month.)

“It’s kind of like having an extra intern on your team,” Hutchinson, a marketer who got her start on the digital team for President Obama’s reelection campaign, tells WIRED. We’re sitting at a picnic table inside the McCormick Place Convention Center in Chicago, and she’s raising her voice to be heard over music blasting from a nearby speaker. “If you’re running ads on Facebook or Google, or developing YouTube scripts, we help you do that in a very structured fashion.”

BattlegroundAI’s interface asks users to select from five different popular large language models—including ChatGPT, Claude, and Anthropic—to generate answers; it then asks users to further customize their results by selecting for tone and “creativity level,” as well as how many variations on a single prompt they might want. It also offers guidance on whom to target and helps craft messages geared toward specialized audiences for a variety of preselected issues, including infrastructure, women’s health, and public safety.

BattlegroundAI declined to provide any examples of actual political ads created using its services. However, WIRED tested the product by creating a campaign aimed at extremely left-leaning adults aged 88 to 99 on the issue of media freedom. “Don't let fake news pull the wool over your bifocals!” one of the suggested ads began.

BattlegroundAI offers only text generation—no AI images or audio. The company adheres to various regulations around the use of AI in political ads.

“What makes Battleground so well suited for politics is it’s very much built with those rules in mind,” says Andy Barr, managing director for Uplift, a Democratic digital ad agency. Barr says Uplift has been testing the BattlegroundAI beta for a few weeks. “It’s helpful with idea generation,” he says. The agency hasn’t yet released any ads using Battleground copy yet, but it has already used it to develop concepts, Barr adds.

I confess to Hutchinson that if I were a politician, I would be scared to use BattlegroundAI. Generative AI tools are known to “hallucinate,” a polite way of saying that they sometimes make things up out of whole cloth. (They bullshit, to use academic parlance.) I ask how she’s ensuring that the political content BattlegroundAI generates is accurate.

“Nothing is automated,” she replies. Hutchinson notes that BattlegroundAI’s copy is a starting-off point, and that humans from campaigns are meant to review and approve it before it goes out. “You might not have a lot of time, or a huge team, but you’re definitely reviewing it.”

Of course, there’s a rising movement opposing how AI companies train their products on art, writing, and other creative work without asking for permission. I ask Hutchinson what she’d say to people who might oppose how tools like ChatGPT are trained. “Those are incredibly valid concerns,” she says. “We need to talk to Congress. We need to talk to our elected officials.”

I ask whether BattlegroundAI is looking at offering language models that train on only public domain or licensed data. “Always open to that,” she says. “We also need to give folks, especially those who are under time constraints, in resource-constrained environments, the best tools that are available to them, too. We want to have consistent results for users and high-quality information—so the more models that are available, I think the better for everybody.”

And how would Hutchinson respond to people in the progressive movement—who generally align themselves with the labor movement—objecting to automating ad copywriting? “Obviously valid concerns,” she says. “Fears that come with the advent of any new technology—we’re afraid of the computer, of the light bulb.”

Hutchinson lays out her stance: She doesn’t see this as a replacement for human labor so much as a way to reduce grunt work. “I worked in advertising for a very long time, and there's so many elements of it that are repetitive, that are honestly draining of creativity,” she says. “AI takes away the boring elements.” She sees BattlegroundAI as a helpmeet for overstretched and underfunded teams.

Taylor Coots, a Kentucky-based political strategist who recently began using the service, describes it as “very sophisticated,” and says it helps identify groups of target voters and ways to tailor messaging to reach them in a way that would otherwise be difficult for small campaigns. In battleground races in gerrymandered districts, where progressive candidates are major underdogs, budgets are tight. “We don’t have millions of dollars,” he says. “Any opportunities we have for efficiencies, we’re looking for those.”

Will voters care if the writing in digital political ads they see is generated with the help of AI? “I'm not sure there is anything more unethical about having AI generate content than there is having unnamed staff or interns generate content,” says Peter Loge, an associate professor and program director at George Washington University who founded a project on ethics in political communication.

“If one could mandate that all political writing done with the help of AI be disclosed, then logically you would have to mandate that all political writing”—such as emails, ads, and op-eds—“not done by the candidate be disclosed,” he adds.

Still, Loge has concerns about what AI does to public trust on a macro level, and how it might impact the way people respond to political messaging going forward. “One risk of AI is less what the technology does, and more how people feel about what it does,” he says. “People have been faking images and making stuff up for as long as we've had politics. The recent attention on generative AI has increased peoples' already incredibly high levels of cynicism and distrust. If everything can be fake, then maybe nothing is true.”

Hutchinson, meanwhile, is focused on her company’s shorter-term impact. “We really want to help people now,” she says. “We’re trying to move as fast as we can.”

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chappydev · 6 months ago

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Future of LLMs (or, "AI", as it is improperly called)

Posted a thread on bluesky and wanted to share it and expand on it here. I'm tangentially connected to the industry as someone who has worked in game dev, but I know people who work at more enterprise focused companies like Microsoft, Oracle, etc. I'm a developer who is highly AI-critical, but I'm also aware of where it stands in the tech world and thus I think I can share my perspective. I am by no means an expert, mind you, so take it all with a grain of salt, but I think that since so many creatives and artists are on this platform, it would be of interest here. Or maybe I'm just rambling, idk.

LLM art models ("AI art") will eventually crash and burn. Even if they win their legal battles (which if they do win, it will only be at great cost), AI art is a bad word almost universally. Even more than that, the business model hemmoraghes money. Every time someone generates art, the company loses money -- it's a very high energy process, and there's simply no way to monetize it without charging like a thousand dollars per generation. It's environmentally awful, but it's also expensive, and the sheer cost will mean they won't last without somehow bringing energy costs down. Maybe this could be doable if they weren't also being sued from every angle, but they just don't have infinite money.

Companies that are investing in "ai research" to find a use for LLMs in their company will, after years of research, come up with nothing. They will blame their devs and lay them off. The devs, worth noting, aren't necessarily to blame. I know an AI developer at meta (LLM, really, because again AI is not real), and the morale of that team is at an all time low. Their entire job is explaining patiently to product managers that no, what you're asking for isn't possible, nothing you want me to make can exist, we do not need to pivot to LLMs. The product managers tell them to try anyway. They write an LLM. It is unable to do what was asked for. "Hm let's try again" the product manager says. This cannot go on forever, not even for Meta. Worst part is, the dev who was more or less trying to fight against this will get the blame, while the product manager moves on to the next thing. Think like how NFTs suddenly disappeared, but then every company moved to AI. It will be annoying and people will lose jobs, but not the people responsible.

ChatGPT will probably go away as something public facing as the OpenAI foundation continues to be mismanaged. However, while ChatGPT as something people use to like, write scripts and stuff, will become less frequent as the public facing chatGPT becomes unmaintainable, internal chatGPT based LLMs will continue to exist.

This is the only sort of LLM that actually has any real practical use case. Basically, companies like Oracle, Microsoft, Meta etc license an AI company's model, usually ChatGPT.They are given more or less a version of ChatGPT they can then customize and train on their own internal data. These internal LLMs are then used by developers and others to assist with work. Not in the "write this for me" kind of way but in the "Find me this data" kind of way, or asking it how a piece of code works. "How does X software that Oracle makes do Y function, take me to that function" and things like that. Also asking it to write SQL queries and RegExes. Everyone I talk to who uses these intrernal LLMs talks about how that's like, the biggest thign they ask it to do, lol.

This still has some ethical problems. It's bad for the enivronment, but it's not being done in some datacenter in god knows where and vampiring off of a power grid -- it's running on the existing servers of these companies. Their power costs will go up, contributing to global warming, but it's profitable and actually useful, so companies won't care and only do token things like carbon credits or whatever. Still, it will be less of an impact than now, so there's something. As for training on internal data, I personally don't find this unethical, not in the same way as training off of external data. Training a language model to understand a C++ project and then asking it for help with that project is not quite the same thing as asking a bot that has scanned all of GitHub against the consent of developers and asking it to write an entire project for me, you know? It will still sometimes hallucinate and give bad results, but nowhere near as badly as the massive, public bots do since it's so specialized.

The only one I'm actually unsure and worried about is voice acting models, aka AI voices. It gets far less pushback than AI art (it should get more, but it's not as caustic to a brand as AI art is. I have seen people willing to overlook an AI voice in a youtube video, but will have negative feelings on AI art), as the public is less educated on voice acting as a profession. This has all the same ethical problems that AI art has, but I do not know if it has the same legal problems. It seems legally unclear who owns a voice when they voice act for a company; obviously, if a third party trains on your voice from a product you worked on, that company can sue them, but can you directly? If you own the work, then yes, you definitely can, but if you did a role for Disney and Disney then trains off of that... this is morally horrible, but legally, without stricter laws and contracts, they can get away with it.

In short, AI art does not make money outside of venture capital so it will not last forever. ChatGPT's main income source is selling specialized LLMs to companies, so the public facing ChatGPT is mostly like, a showcase product. As OpenAI the company continues to deathspiral, I see the company shutting down, and new companies (with some of the same people) popping up and pivoting to exclusively catering to enterprises as an enterprise solution. LLM models will become like, idk, SQL servers or whatever. Something the general public doesn't interact with directly but is everywhere in the industry. This will still have environmental implications, but LLMs are actually good at this, and the data theft problem disappears in most cases.

Again, this is just my general feeling, based on things I've heard from people in enterprise software or working on LLMs (often not because they signed up for it, but because the company is pivoting to it so i guess I write shitty LLMs now). I think artists will eventually be safe from AI but only after immense damages, I think writers will be similarly safe, but I'm worried for voice acting.

#ai critical #ai is theft #llm #technology #chatgpt

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kanguin · 7 months ago

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Prometheus Gave the Gift of Fire to Mankind. We Can't Give it Back, nor Should We.

AI. Artificial intelligence. Large Language Models. Learning Algorithms. Deep Learning. Generative Algorithms. Neural Networks. This technology has many names, and has been a polarizing topic in numerous communities online. By my observation, a lot of the discussion is either solely focused on A) how to profit off it or B) how to get rid of it and/or protect yourself from it. But to me, I feel both of these perspectives apply a very narrow usage lens on something that's more than a get rich quick scheme or an evil plague to wipe from the earth.

This is going to be long, because as someone whose degree is in psych and computer science, has been a teacher, has been a writing tutor for my younger brother, and whose fiance works in freelance data model training... I have a lot to say about this.

I'm going to address the profit angle first, because I feel most people in my orbit (and in related orbits) on Tumblr are going to agree with this: flat out, the way AI is being utilized by large corporations and tech startups -- scraping mass amounts of visual and written works without consent and compensation, replacing human professionals in roles from concept art to story boarding to screenwriting to customer service and more -- is unethical and damaging to the wellbeing of people, would-be hires and consumers alike. It's wasting energy having dedicated servers running nonstop generating content that serves no greater purpose, and is even pressing on already overworked educators because plagiarism just got a very new, harder to identify younger brother that's also infinitely more easy to access.

In fact, ChatGPT is such an issue in the education world that plagiarism-detector subscription services that take advantage of how overworked teachers are have begun paddling supposed AI-detectors to schools and universities. Detectors that plainly DO NOT and CANNOT work, because the difference between "A Writer Who Writes Surprisingly Well For Their Age" is indistinguishable from "A Language Replicating Algorithm That Followed A Prompt Correctly", just as "A Writer Who Doesn't Know What They're Talking About Or Even How To Write Properly" is indistinguishable from "A Language Replicating Algorithm That Returned Bad Results". What's hilarious is that the way these "detectors" work is also run by AI.

(to be clear, I say plagiarism detectors like TurnItIn.com and such are predatory because A) they cost money to access advanced features that B) often don't work properly or as intended with several false flags, and C) these companies often are super shady behind the scenes; TurnItIn for instance has been involved in numerous lawsuits over intellectual property violations, as their services scrape (or hopefully scraped now) the papers submitted to the site without user consent (or under coerced consent if being forced to use it by an educator), which it uses in can use in its own databases as it pleases, such as for training the AI detecting AI that rarely actually detects AI.)

The prevalence of visual and lingustic generative algorithms is having multiple, overlapping, and complex consequences on many facets of society, from art to music to writing to film and video game production, and even in the classroom before all that, so it's no wonder that many disgruntled artists and industry professionals are online wishing for it all to go away and never come back. The problem is... It can't. I understand that there's likely a large swath of people saying that who understand this, but for those who don't: AI, or as it should more properly be called, generative algorithms, didn't just show up now (they're not even that new), and they certainly weren't developed or invented by any of the tech bros peddling it to megacorps and the general public.

Long before ChatGPT and DALL-E came online, generative algorithms were being used by programmers to simulate natural processes in weather models, shed light on the mechanics of walking for roboticists and paleontologists alike, identified patterns in our DNA related to disease, aided in complex 2D and 3D animation visuals, and so on. Generative algorithms have been a part of the professional world for many years now, and up until recently have been a general force for good, or at the very least a force for the mundane. It's only recently that the technology involved in creating generative algorithms became so advanced AND so readily available, that university grad students were able to make the publicly available projects that began this descent into madness.

Does anyone else remember that? That years ago, somewhere in the late 2010s to the beginning of the 2020s, these novelty sites that allowed you to generate vague images from prompts, or generate short stylistic writings from a short prompt, were popping up with University URLs? Oftentimes the queues on these programs were hours long, sometimes eventually days or weeks or months long, because of how unexpectedly popular this concept was to the general public. Suddenly overnight, all over social media, everyone and their grandma, and not just high level programming and arts students, knew this was possible, and of course, everyone wanted in. Automated art and writing, isn't that neat? And of course, investors saw dollar signs. Simply scale up the process, scrape the entire web for data to train the model without advertising that you're using ALL material, even copyrighted and personal materials, and sell the resulting algorithm for big money. As usual, startup investors ruin every new technology the moment they can access it.

To most people, it seemed like this magic tech popped up overnight, and before it became known that the art assets on later models were stolen, even I had fun with them. I knew how learning algorithms worked, if you're going to have a computer make images and text, it has to be shown what that is and then try and fail to make its own until it's ready. I just, rather naively as I was still in my early 20s, assumed that everything was above board and the assets were either public domain or fairly licensed. But when the news did came out, and when corporations started unethically implementing "AI" in everything from chatbots to search algorithms to asking their tech staff to add AI to sliced bread, those who were impacted and didn't know and/or didn't care where generative algorithms came from wanted them GONE. And like, I can't blame them. But I also quietly acknowledged to myself that getting rid of a whole technology is just neither possible nor advisable. The cat's already out of the bag, the genie has left its bottle, the Pandorica is OPEN. If we tried to blanket ban what people call AI, numerous industries involved in making lives better would be impacted. Because unfortunately the same tool that can edit selfies into revenge porn has also been used to identify cancer cells in patients and aided in decoding dead languages, among other things.

When, in Greek myth, Prometheus gave us the gift of fire, he gave us both a gift and a curse. Fire is so crucial to human society, it cooks our food, it lights our cities, it disposes of waste, and it protects us from unseen threats. But fire also destroys, and the same flame that can light your home can burn it down. Surely, there were people in this mythic past who hated fire and all it stood for, because without fire no forest would ever burn to the ground, and surely they would have called for fire to be given back, to be done away with entirely. Except, there was no going back. The nature of life is that no new element can ever be undone, it cannot be given back.

So what's the way forward, then? Like, surely if I can write a multi-paragraph think piece on Tumblr.com that next to nobody is going to read because it's long as sin, about an unpopular topic, and I rarely post original content anyway, then surely I have an idea of how this cyberpunk dystopia can be a little less.. Dys. Well I do, actually, but it's a long shot. Thankfully, unlike business majors, I actually had to take a cyber ethics course in university, and I actually paid attention. I also passed preschool where I learned taking stuff you weren't given permission to have is stealing, which is bad. So the obvious solution is to make some fucking laws to limit the input on data model training on models used for public products and services. It's that simple. You either use public domain and licensed data only or you get fined into hell and back and liable to lawsuits from any entity you wronged, be they citizen or very wealthy mouse conglomerate (suing AI bros is the only time Mickey isn't the bigger enemy). And I'm going to be honest, tech companies are NOT going to like this, because not only will it make doing business more expensive (boo fucking hoo), they'd very likely need to throw out their current trained datasets because of the illegal components mixed in there. To my memory, you can't simply prune specific content from a completed algorithm, you actually have to redo rhe training from the ground up because the bad data would be mixed in there like gum in hair. And you know what, those companies deserve that. They deserve to suffer a punishment, and maybe fold if they're young enough, for what they've done to creators everywhere. Actually, laws moving forward isn't enough, this needs to be retroactive. These companies need to be sued into the ground, honestly.

So yeah, that's the mess of it. We can't unlearn and unpublicize any technology, even if it's currently being used as a tool of exploitation. What we can do though is demand ethical use laws and organize around the cause of the exclusive rights of individuals to the content they create. The screenwriter's guild, actor's guild, and so on already have been fighting against this misuse, but given upcoming administration changes to the US, things are going to get a lot worse before thet get a little better. Even still, don't give up, have clear and educated goals, and focus on what you can do to affect change, even if right now that's just individual self-care through mental and physical health crises like me.

#ai #artificial intelligence #generative algorithms #llm #large language model #chatgpt #ai art #ai writing #kanguin original

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manorinthewoods · 27 days ago

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"Welcome to the AI trough of disillusionment"

"When the chief executive of a large tech firm based in San Francisco shares a drink with the bosses of his Fortune 500 clients, he often hears a similar message. “They’re frustrated and disappointed. They say: ‘I don’t know why it’s taking so long. I’ve spent money on this. It’s not happening’”.

"For many companies, excitement over the promise of generative artificial intelligence (AI) has given way to vexation over the difficulty of making productive use of the technology. According to S&P Global, a data provider, the share of companies abandoning most of their generative-AI pilot projects has risen to 42%, up from 17% last year. The boss of Klarna, a Swedish buy-now, pay-later provider, recently admitted that he went too far in using the technology to slash customer-service jobs, and is now rehiring humans for the roles."

"Consumers, for their part, continue to enthusiastically embrace generative AI. [Really?] Sam Altman, the boss of OpenAI, recently said that its ChatGPT bot was being used by some 800m people a week, twice as many as in February. Some already regularly turn to the technology at work. Yet generative AI’s ["]transformative potential["] will be realised only if a broad swathe of companies systematically embed it into their products and operations. Faced with sluggish progress, many bosses are sliding into the “trough of disillusionment”, says John Lovelock of Gartner, referring to the stage in the consultancy’s famed “hype cycle” that comes after the euphoria generated by a new technology.

"This poses a problem for the so-called hyperscalers—Alphabet, Amazon, Microsoft and Meta—that are still pouring vast sums into building the infrastructure underpinning AI. According to Pierre Ferragu of New Street Research, their combined capital expenditures are on course to rise from 12% of revenues a decade ago to 28% this year. Will they be able to generate healthy enough returns to justify the splurge? [I'd guess not.]

"Companies are struggling to make use of generative AI for many reasons. Their data troves are often siloed and trapped in archaic it systems. Many experience difficulties hiring the technical talent needed. And however much potential they see in the technology, bosses know they have brands to protect, which means minimising the risk that a bot will make a damaging mistake or expose them to privacy violations or data breaches.

"Meanwhile, the tech giants continue to preach AI’s potential. [Of course.] Their evangelism was on full display this week during the annual developer conferences of Microsoft and Alphabet’s Google. Satya Nadella and Sundar Pichai, their respective bosses, talked excitedly about a “platform shift” and the emergence of an “agentic web” populated by semi-autonomous AI agents interacting with one another on behalf of their human masters. [Jesus christ. Why? Who benefits from that? Why would anyone want that? What's the point of using the Internet if it's all just AIs pretending to be people? Goddamn billionaires.]

"The two tech bosses highlighted how AI models are getting better, faster, cheaper and more widely available. At one point Elon Musk announced to Microsoft’s crowd via video link that xAI, his AI lab, would be making its Grok models available on the tech giant’s Azure cloud service (shortly after Mr Altman, his nemesis, used the same medium to tout the benefits of OpenAI’s deep relationship with Microsoft). [Nobody wanted Microsoft to pivot to the cloud.] Messrs Nadella and Pichai both talked up a new measure—the number of tokens processed in generative-AI models—to demonstrate booming usage. [So now they're fiddling with the numbers to make them look better.

"Fuddy-duddy measures of business success, such as sales or profit, were not in focus. For now, the meagre cloud revenues Alphabet, Amazon and Microsoft are making from AI, relative to the magnitude of their investments, come mostly from AI labs and startups, some of which are bankrolled by the giants themselves.

"Still, as Mr Lovelock of Gartner argues, much of the benefit of the technology for the hyperscalers will come from applying it to their own products and operations. At its event, Google announced that it will launch a more conversational “AI mode” for its search engine, powered by its Gemini models. It says that the AI summaries that now appear alongside its search results are already used by more than 1.5bn people each month. [I'd imagine this is giving a generous definition of 'used'. The AI overviews spawn on basically every search - that doesn't mean everyone's using them. Although, probably, a lot of people are.] Google has also introduced generative AI into its ad business [so now the ads are even less appealing], to help companies create content and manage their campaigns. Meta, which does not sell cloud computing, has weaved the technology into its ad business using its open-source Llama models. Microsoft has embedded AI into its suite of workplace apps and its coding platform, Github. Amazon has applied the technology in its e-commerce business to improve product recommendations and optimise logistics. AI may also allow the tech giants to cut programming jobs. This month Microsoft laid off 6,000 workers, many of whom were reportedly software engineers. [That's going to come back to bite you. The logistics is a valid application, but not the whole 'replacing programmers with AI' bit. Better get ready for the bugs!]

"These efforts, if successful, may even encourage other companies to keep experimenting with the technology until they, too, can make it work. Troughs, after all, have two sides; next in Gartner’s cycle comes the “slope of enlightenment”, which sounds much more enjoyable. At that point, companies that have underinvested in AI may come to regret it. [I doubt it.] The cost of falling behind is already clear at Apple, which was slower than its fellow tech giants to embrace generative AI. It has flubbed the introduction of a souped-up version of its voice assistant Siri, rebuilt around the technology. The new bot is so bug-ridden its rollout has been postponed.

"Mr Lovelock’s bet is that the trough will last until the end of next year. In the meantime, the hyperscalers have work to do. Kevin Scott, Microsoft’s chief technology officer, said this week that for AI agents to live up to their promise, serious work needs to be done on memory, so that they can recall past interactions. The web also needs new protocols to help agents gain access to various data streams. [What an ominous way to phrase that.] Microsoft has now signed up to an open-source one called Model Context Protocol, launched in November by Anthropic, another AI lab, joining Amazon, Google and OpenAI.

"Many companies say that what they need most is not cleverer AI models, but more ways to make the technology useful. Mr Scott calls this the “capability overhang.” He and Anthropic’s co-founder Dario Amodei used the Microsoft conference to urge users to think big and keep the faith. [Yeah, because there's no actual proof this helps. Except in medicine and science.] “Don’t look away,” said Mr Amodei. “Don’t blink.” ■"

#current events #ai #good news #original content #journalism #the economist

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cocoa-rococo · 8 months ago

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miscellaneous things i think could be good (or just funny) in a modern freakazoid reboot

dexter has a small friend group he plays dnd and other games with (because help him, this boy needs some legitimate friends)

more of dexter and freakazoid interacting with each other, being able to see how their internal communication works. bonus if freak can just. pop up on dexter's computer or phone to chat with him

a new villain or plot device based on generative ai, messing with freakazoid's sense of what's true and false (possibly deadpan? the early villain in the s1 finale?)

an episode on just how exactly to do a freakazoid reboot. freak himself is in the studio trying to find the best pitch to turn into a show, and even in the writing room, telling people that no, actually, he'd never say that, have you even SEEN the original show --

a whole episode's running joke of being sponsored by an mmorpg (with 20% off if the viewer uses the code RPGFREAK20XX). freak goes after the game's creators near the episode's end when he gets sick of the interruptions

valerie returns with a bit of a larger role, being steph's friend and possibly becoming the previously cut-from-production witch girl (because we need more women in this show)

short joke of freakazoid stopping a fight to tell someone who's playing a video loudly without headphones to stop it, it is DRIVING him UP the WALL. GEEZ

fanboy makes a return, and introduces his little sister: a freakazoid fan who's a little too into him and her favorite fandom ships. freak wants nothing to do with her, her brother, and her "intense interest with cargo and freighters"

cobra queen has an online shop where she makes snake-themed jewelry and does makeup tutorials. freakazoid is happy to support small businesses. he is not happy when she still uses her massive pet serpents to break into stores to steal things

gutierrez, with the internet taking off, also deals in developing software at apex. the new social media app they make leeches info from others to sell, but its main use is to find, tag, and track freakazoid wherever he goes

one of the villain's plans involve those fridges that come with a touchscreen and built-in wifi. imagine their surprise when freak is able to zap inside. he's on one of the shelves eating food and asking for condiments

an episode where lobe's scheme is based on one of those viral, seemingly silly mobile games everyone plays (flappy bird, candy crush, cookie clicker, etc). even the show's staff are taken with it. the narrator interrupts the program at one point to mention that he will no longer be announcing things because he's too busy playing the game himself

freakazoid learns about vr being a thing, and becomes a cryptid by popping into random games and streams. there's a whole short done like a found footage film or documentary based on people's attempt to find him

freak does a parody of youtuber apology videos for a segment, saying sorry to the viewer. by the end, it's clear he's badly reading off a script, and admits he doesn't even know what he's apologizing for

cave guy's plan for an episode being intimidating various scholars, professors, and newspapers to hide articles and research behind a paywall (which goes directly to him, of course). freak learns about it because dexter needs to write a paper for class, and needs to race against the clock to get his sources unlocked before its due

a short based on dexter trying his hand at streaming games. he ends up temporarily famous for his really well-done "custom freakazoid vtuber model" (it's just freak himself)

a short based on longhorn trying to get into nashville by becoming a music influencer. he does not get far

you-know-who has happily settled into his role as an internet creepypasta. there's an episode where freakazoid needs to follow a string of disappearances, linked with a recent internet "challenge" and posts trailing off after saying candlejack, which is harder than it s --

#freakazoid #freakazoid series #freakazoid!#cocoapost #ever since i finished watching the show i have had. ideas #i'd love to see a modern reboot with how the internet is nowadays #is it likely? maybe not #but i can DREAM DARN IT ALL #anyways if y'all have thoughts i would love to hear them

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priyanshuw3teck · 11 days ago

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Why a Digital Marketing Agency Beats Freelancers in 2025

In a fast-moving digital world, businesses are confronted with a tough choice in 2025: to hire a freelance individual or a full-service digital marketing organization? As with many other decisions in our lives, there are advantages and disadvantages to hiring a freelancer versus going with an agency. In the case of the task at hand, it was possible that the freelancer could be cost-effective and/or flexible in their approach than an agency. However, considering all things digital marketing can change so quickly, I feel it is better for the business to go with a scalable agency. After all, digital marketing is not a process with a beginning and an end; it is best viewed as a process with a process over the long-run to receive all advantages out of your work. And a freelancer cannot provide that. This blog will discuss why hiring a digital marketing agency is the best option in 2025, and how on the whole provide far more comprehensible digital marketing options than a single person can provide.

1. Full-Service Digital Marketing Solutions

Unlike freelancers, who often specialize in one or two areas, a digital marketing company in Jaipur like W3Teck offers a complete suite of digital marketing services:

SEO in Digital Marketing

Social Media Marketing Services

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These integrated solutions mean your campaigns are aligned, your messaging is consistent, and your brand grows across all channels.

2. Expertise Across Multiple Domains

Digital marketing today is far more than SEO or running a few ads. It’s about combining skills in copywriting, meta-ads, Google search ads, ecommerce SEO, Amazon account management services, and app development.

Agencies employ experts in each of these domains:

SEO Specialists and SEO experts to manage rankings

Certified google ads specialist and Facebook Ads Managers

Web designers and app developers for performance and UX

Content strategists and copywriters for better engagement

A freelancer simply can’t match this level of specialization and teamwork.

3. Scalable Campaigns and Reliable Delivery

A common problem with freelancers is bandwidth. As your marketing needs grow, a freelancer might struggle to keep up. Agencies, on the other hand, are built to scale.

Need to run a YouTube video promotion, design ecommerce websites, and launch meta ads simultaneously? An agency has dedicated departments to execute all these tasks without delay or compromise.

4. Data-Driven Strategies and Transparent Reporting

Leading digital marketing agencies use data to drive decisions. With access to tools like:

Google Analytics

Fb Ads Manage

Heatmaps and conversion tracking tools

Advanced PPC Advertising dashboards

agencies ensure every rupee spent is measurable and optimized. Freelancers may not offer real-time reporting or insights, and you may end up flying blind.

5. Access to Premium Tools and Platforms

Premium tools like SEMrush, Ahrefs, SurferSEO, and paid ad intelligence platforms can cost thousands monthly. The best seo agencies and marketing firms already have access to these tools and include them in your package.

This gives your brand a competitive edge without the extra expense.

6. Better ROI with Strategic Campaigns

Digital marketing companies craft long-term strategies tailored to your business model. Whether you’re an ecommerce company, a mobile app developer, or a local service provider, agencies analyze your market, customer personas, and competitive landscape to build data-backed campaigns.

Freelancers often focus on task execution, not on holistic brand strategy or revenue-driven campaigns.

7. Compliance, Quality Control, and Brand Safety

2025 brings stricter regulations around user data, AI-generated content, and ad compliance. A social media marketing company in India must now ensure:

Ad policy compliance across platforms

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Agencies have compliance teams or SOPs in place. Freelancers rarely do.

8. Reliability and Project Management

Agencies operate with structured workflows, deadlines, and deliverables. With project managers, account strategists, and performance analysts on board, you never have to chase someone for updates.

Freelancers might go unresponsive during personal emergencies, vacations, or if overloaded. Business momentum suffers.

9. Cross-Channel Marketing Mastery

Marketing in 2025 demands omni channel presence. A single campaign may involve:

Google Search Ads

Facebook Meta Ads

Instagram Marketing

LinkedIn Ads

Amazon and Flipkart marketing

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Only an agency can build and manage this ecosystem seamlessly.

10. Long-Term Partnership for Business Growth

Freelancers often operate on a short-term, task-based model. the best marketing agencies however, align their success with your business growth.

They constantly refine strategies, test new platforms, and update tactics to ensure consistent revenue and brand value growth.

11. Dedicated Support, Consultation, and Strategy Building

A reputable agency doesn’t just execute campaigns — they become your marketing partner. Expect dedicated support, regular consultations, strategic brainstorming sessions, and periodic reviews. These consultations lead to better budgeting, brand positioning, and faster decision-making, giving your business the edge it needs.

12. More Cost Efficient in the Long Run

Freelancers may offer cheaper services phase by phase, but agencies are often much more efficacious in the end. Their process is repetitive, which cuts down on the chances of mistakes, keeps lengthy revisions down, and makes for better conversions. Plus, agencies can often find separate ways of productizing their services to offer you tools, reports and consulting that you would pay extra for a la carte if you were contracting separate freelancers to accomplish these things independently.

Conclusion: Go with a Digital Marketing Agency for 2025 and Beyond

Having a Digital marketing agency is no longer just a nice to have, it is a must have for any business looking to exist or grow within digital in 2025. SEO digital marketing complete ecommerce solutions, google business advertising, app development - all of this can be accomplished with an agency that has loads of experience across the board.

A quick note if you are looking for the best digital marketing agency has proven results, offers end-to-end services, and has a transparent communication style: W3Teck is the best option for you.

The sooner you invest in a partner to grow smarter, scale faster, and benefit from their knowledge and expertise, the only question you will have is what to do with the extra time you have as your marketing becomes more effective and efficient.

Explore our services:

SEO services Company

Best Facebook Ads & Instagram Marketing

Web & App Development

PPC and Google Ads Management

Amazon Ecommerce services

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